Nonlinear Dynamics
Research News and Information

Saturday, November 21, 2009

Predicting the unpredictable: weighted averaging of past stimulus timing facilitates ocular pursuit of randomly timed stimuli.

19 Oct 2009 In motor control, prediction of future events is vital for overcoming sensory-motor processing delays and facilitating rapid and accurate responses in a dynamic environment. In human ocular pursuit this is so pervasive that prediction of future ... Read more...

Embedding multiple trajectories in simulated recurrent neural networks in a self-organizing manner.

19 Oct 2009 Complex neural dynamics produced by the recurrent architecture of neocortical circuits is critical to the cortex's computational power. However, the synaptic learning rules underlying the creation of stable propagation and reproducible neural ... Read more...

Spatiotemporal distortions of visual perception at the time of saccades.

19 Oct 2009 Both space and time are grossly distorted during saccades. Here we show that the two distortions are strongly linked, and that both could be a consequence of the transient remapping mechanisms that affect visual neurons perisaccadically. We measured ... Read more...

Latest indexed articles for 'Nonlinear Dynamics'

These are the very latest articles for this heading:

• Predicting the unpredictable: weighted averaging of past stimulus timing facilitates ocular pursuit of randomly timed stimuli. 19 Oct 2009
• Embedding multiple trajectories in simulated recurrent neural networks in a self-organizing manner. 19 Oct 2009
• Spatiotemporal distortions of visual perception at the time of saccades. 19 Oct 2009
• Nonlinear integration of visual and haltere inputs in fly neck motor neurons. 19 Oct 2009
• Efficient near-IR hyperthermia and intense nonlinear optical imaging contrast on the gold nanorod-in-shell nanostructures. 12 Oct 2009
• The brain in its body: motor control and sensing in a biomechanical context. 12 Oct 2009
• A dynamic causal model of the coupling between pulse stimulation and neural activity. 29 Sep 2009
• Correlation between eigenvalue spectra and dynamics of neural networks. 29 Sep 2009
• Distance learning in discriminative vector quantization. 29 Sep 2009
• Dynamics of activation of semantically similar concepts during spoken word recognition. 29 Sep 2009
• Discriminative learning for dynamic state prediction. 29 Sep 2009
• Neuromuscular block differentially affects immobility and cortical activation at near-minimum alveolar concentration anesthesia. 29 Sep 2009
• Implicit sampling for particle filters. 22 Sep 2009
• Dynamics of fast and slow inhibition from cerebellar golgi cells allow flexible control of synaptic integration. 22 Sep 2009
• Automated analysis of cellular signals from large-scale calcium imaging data. 22 Sep 2009
• Non-linear dielectric spectroscopy of microbiological suspensions. 20 Sep 2009
• Portability of the GN(R)A hairpin loop motif between RNA and DNA. 20 Sep 2009
• Extracting the causality of correlated motions from molecular dynamics simulations. 14 Sep 2009
• Flickering analysis of erythrocyte mechanical properties: dependence on oxygenation level, cell shape, and hydration level. 14 Sep 2009
• Spatial spread of the local field potential and its laminar variation in visual cortex. 14 Sep 2009

See a longer list of these articles.

Technical information about 'Nonlinear Dynamics'

Definition: The study of systems which respond disproportionately (nonlinearly) to initial conditions or perturbing stimuli. Nonlinear systems may exhibit "chaos" which is classically characterized as sensitive dependence on initial conditions. Chaotic systems, while distinguished from more ordered periodic systems, are not random. When their behavior over time is appropriately displayed (in "phase space"), constraints are evident which are described by "strange attractors". Phase space representations of chaotic systems, or strange attractors, usually reveal fractal (FRACTALS) self-similarity across time scales. Natural, including biological, systems often display nonlinear dynamics and chaos.

Descriptor UI: D017711

Alternative terms: Nonlinear Dynamics; Dynamics, Nonlinear; Nonlinear Dynamic; Non-linear Dynamics; Dynamics, Non-linear; Non linear Dynamics; Non-linear Dynamic; Chaos Theory; Chaos Theories; Theories, Chaos; Theory, Chaos; Models, Nonlinear; Model, Nonlinear; Nonlinear Model; Nonlinear Models; Non-linear Models; Model, Non-linear; Models, Non-linear; Non linear Models; Non-linear Model;

Related Mesh Headings: Fractals;

Allowable Qualifiers: history;

Tree Number: E05.599.850; H01.548.675;

History Note: 94

Technical Notes: a math principle applied to theoret models